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In computer science, a generator is a routine that can be used to control the iteration behaviour of a loop. All generators are also iterators. A generator is very similar to a function that returns an array, in that a generator has parameters, can be called, and generates a sequence of values.
There are tools available that can extract the docstrings from Python code and generate documentation. Docstring documentation can also be accessed from the interpreter with the help() function, or from the shell with the pydoc command pydoc .
Autogen definitions (lists of key–value pairs or hierarchical data arranged like C structs ), Autogen templates (fixed output plus inline macros for conditional or repetitive emission of code blocks or evaluation of Bourne shell or Scheme expressions) XML, CGI data.
Unless otherwise specified in footnotes, comparisons are based on the stable versions without any add-ons, extensions or external programs. Note that many of the generators listed are no longer maintained.
Python is a high-level, general-purpose programming language.Its design philosophy emphasizes code readability with the use of significant indentation.. Python is dynamically typed and garbage-collected.
Cheetah, a Python-powered template engine and code-generation tool; Construct, a python library for the declarative construction and deconstruction of data structures; Genshi, a template engine for XML-based vocabularies; IPython, a development shell both written in and designed for Python
However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity. (For example, upon encountering a variable declaration, user-written code could save the name and type of the variable into an external data structure, so that these could be checked against ...
Sphinx is a documentation generator written and used by the Python community. It is written in Python, and also used in other environments.
This plugin integrated with various sources, including MSDN and Stack Overflow, to provide high-quality contextually relevant code snippets in response to natural language queries. Features. When provided with a programming problem in natural language, Copilot is capable of generating solution code.
Blockly uses visual blocks that link together to make writing code easier, and can generate code in JavaScript, Lua, Dart, Python, or PHP. It can also be customized to generate code in any textual programming language.